MCP.so
登录

Graphpilot

@graphpilot-oss

关于 Graphpilot

GraphPilot gives coding agents persistent structural knowledge of a codebase. It parses TypeScript/JavaScript with tree-sitter into a graph of symbols and call edges, then exposes that graph over MCP so the agent can recall definitions, find callers, and trace change impact witho

基本信息

分类

其他

传输方式

stdio

发布者

graphpilot-oss

提交者

akshay sharma

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "graphpilot": {
      "command": "npx",
      "args": [
        "-y",
        "@graphpilot-oss/graphpilot",
        "mcp"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Graphpilot?

Graphpilot is a local CLI + MCP server that indexes TypeScript/JavaScript repos into a structural graph (symbols, callers, callees, blast radius) and exposes it to coding agents like Claude Code, Cursor, and Cline, so they stop grepping the same files every session. It runs entirely on your machine and serves as persistent structural memory between agent sessions, reducing token usage and hallucinations.

How to use Graphpilot?

Install the package globally (npm install -g @graphpilot-oss/graphpilot), then run graphpilot index <path> once to build the graph. For agent integration, add a two-line MCP server entry to your agent's configuration pointing to graphpilot mcp. Optionally run graphpilot watch <path> for sub-second incremental updates and graphpilot init to write editor rules that teach the agent to use the gp_* tools.

Key features of Graphpilot

  • Evidence anchors with file:line@sha on every result
  • Differential impact scoped to branch changes via since
  • Worktree‑aware indexing without manual configuration
  • Local‑first, zero telemetry, deterministic graph
  • Sub‑second incremental watch mode updates
  • Four MCP tools: gp_recall, gp_callers, gp_impact, gp_index

Use cases of Graphpilot

  • Find all callers of a function before refactoring
  • Assess blast radius of renaming a symbol up to depth 5
  • Perform PR‑scoped impact analysis using branch filter
  • Locate a symbol definition quickly without grep
  • Keep agent’s structural knowledge fresh via watch mode

FAQ from Graphpilot

What are the prerequisites for using Graphpilot?

Node.js ≥20, an MCP‑capable coding agent (Claude Code, Cursor, Cline, Windsurf, or Continue), and a TypeScript or JavaScript repository to index.

How does Graphpilot compare to grep?

In a benchmark on 10 structural queries, Graphpilot achieved F1 0.89 vs grep’s 0.42 while reading 99.9% fewer bytes (721 B vs 528 KB). An agent using Graphpilot on 40 questions used 61% fewer tokens and cost $3.68 instead of $8.88.

Does Graphpilot send any data off my machine?

No. Graphpilot is local‑first by design — it has no telemetry, no remote calls, and the

评论

其他 分类下的更多 MCP 服务器